A Fuzzy Logic Inference System for Testing Lithium-ion Battery State of Charge

DOI

10.2991/wartia-18.2018.25How to use a DOI?

Keywords

Lithium ion Battery, State of Charge, Voltage Recovery, Fuzzy Logic Inference System

Abstract

In this research the charge and discharge tests have been adopted as battery test methods. It has been considered that combining these methods with a fuzzy logic reference system (FIS) can be accurate and efficient in analyzing complex electrochemical processes, such as testing state of charge (SOC) for a lithium-ion battery (LIB). All the work have been carried out in Matlab/Simulink, including battery modelling, discharge testing, and fuzzy logic analysis. In this paper the approach combined FIS with discharge testing was proved to be of good accuracy, with the maximum relative error of SOC under 4%, and it was found that the relative error increases as the tested SOC rises.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

TY  - CONF
AU  - Chi Zhang
PY  - 2018/09
DA  - 2018/09
TI  - A Fuzzy Logic Inference System for Testing Lithium-ion Battery State of Charge
BT  - Proceedings of the 4th Workshop on Advanced Research and Technology in Industry (WARTIA 2018)
PB  - Atlantis Press
SP  - 154
EP  - 159
SN  - 2352-5401
UR  - https://doi.org/10.2991/wartia-18.2018.25
DO  - 10.2991/wartia-18.2018.25
ID  - Zhang2018/09
ER  -